Paper

  • Discrete Modeling via Boundary Conditional Diffusion Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discrete Modeling via Boundary Conditional Diffusion Processes

    Xiaocheng Feng, Yuxuan Gu, Lei Huang, Bing Qin, Yingsheng Wu, Weihong Zhong, Zekun Zhou, Kun Zhu p121204-121235 from Advances in Neural Information Processing Systems 37
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  • DISCRETE OPTIMIZATION OF TIMBER STRUCTURES WITH M I N L P

    World Conference on Timber Engineering 2025

    DISCRETE OPTIMIZATION OF TIMBER STRUCTURES WITH M I N L P

    Stojan Kravanja, Primož Jelušic, Tomaž Žula, Zdravko Kravanja p1848-1855 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • DISCRETE VS. CONTINUOUS REINFORCEMENT: A COMPARATIVE STUDY OF CONVENTIONAL AND NOVEL INTERLOCKING CONNECTIONS IN CLT SHEAR WALLS

    World Conference on Timber Engineering 2025

    DISCRETE VS. CONTINUOUS REINFORCEMENT: A COMPARATIVE STUDY OF CONVENTIONAL AND NOVEL INTERLOCKING CONNECTIONS IN CLT SHEAR WALLS

    Zhengyao Li p359-365 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Discrete-state Continuous-time Diffusion for Graph Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discrete-state Continuous-time Diffusion for Graph Generation

    Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Xiran Fan, Menghai Pan, Ruizhong Qiu, Hanghang Tong, Zhe Xu, Zhichen Zeng p79704-79740 from Advances in Neural Information Processing Systems 37
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  • Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization

    Yixin Chen, Alan Kuhnle, Ankur Nath, Chunli Peng p108929-108973 from Advances in Neural Information Processing Systems 37
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  • DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for  Cognitive Diagnosis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis

    Mingyang Chen, Haiping Ma, Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Panpan Zhang, Xingyi Zhang p91532-91559 from Advances in Neural Information Processing Systems 37
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  • Disentangled Representation Learning in Non-Markovian Causal Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Disentangled Representation Learning in Non-Markovian Causal Systems

    Elias Bareinboim, Adam Li, Yushu Pan p104843-104903 from Advances in Neural Information Processing Systems 37
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  • Disentangled Style Domain for Implicit $z$-Watermark Towards Copyright Protection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Disentangled Style Domain for Implicit $z$-Watermark Towards Copyright Protection

    Zhaojun Guo, Junqiang Huang, Sheng Li, Ge Luo, Zhenxing Qian, Xinpeng Zhang p55810-55830 from Advances in Neural Information Processing Systems 37
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  • Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning

    Jiaheng Hu, Roberto Martín-Martín, Peter Stone, Zizhao Wang p76529-76552 from Advances in Neural Information Processing Systems 37
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  • Disentangling and mitigating the impact of task similarity for continual learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Disentangling and mitigating the impact of task similarity for continual learning

    Naoki Hiratani p3243-3274 from Advances in Neural Information Processing Systems 37
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  • Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis

    David Knowles, Raul Rabadan, Jiayu Su p37408-37438 from Advances in Neural Information Processing Systems 37
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  • Disentangling Linear Quadratic Control with Untrusted ML Predictions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Disentangling Linear Quadratic Control with Untrusted ML Predictions

    Tongxin Li, Hao Liu, Yisong Yue p86860-86898 from Advances in Neural Information Processing Systems 37
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